Shrishti-S/ag_news_annotated

该数据集是一个使用Argilla创建的新闻文本数据集，包含新闻文章文本，用于文本分类和实体标注任务。数据集包含一个训练集拆分，大小在10万到100万条记录之间。字段包括文本内容，问题涉及将文本分类为Business、Sci/Tech、Sports、World四个类别，并标注文本中的实体。数据集基于AG News数据集进行标注，但具体来源和标注细节未在README中详细说明。This dataset is a news text dataset created using Argilla, containing news article texts for text classification and entity annotation tasks. The dataset includes a single train split, with a size between 100K and 1M records. Fields consist of text content, and questions involve classifying text into four categories: Business, Sci/Tech, Sports, World, as well as annotating entities in the text. The dataset is annotated based on the AG News dataset, but specific source and annotation details are not elaborated in the README.